Attach packages

library(tidyverse)
## -- Attaching packages ------------------------- tidyverse 1.2.1 --
## v ggplot2 3.2.1     v purrr   0.3.2
## v tibble  2.1.3     v dplyr   0.8.3
## v tidyr   1.0.0     v stringr 1.4.0
## v readr   1.3.1     v forcats 0.4.0
## -- Conflicts ---------------------------- tidyverse_conflicts() --
## x dplyr::filter() masks stats::filter()
## x dplyr::lag()    masks stats::lag()
library(DT)
library(plotly)
## 
## Attaching package: 'plotly'
## The following object is masked from 'package:ggplot2':
## 
##     last_plot
## The following object is masked from 'package:stats':
## 
##     filter
## The following object is masked from 'package:graphics':
## 
##     layout

Create interactive graph with iris data

iris_graph <- ggplot(iris,
                     aes(x = Petal.Width,
                         y = Petal.Length)) +
  geom_point(aes(size = Sepal.Width, color = Species)) +
  labs(x = "Petal Width (cm)",
       y = "Petal Length (cm)")


ggplotly(iris_graph)